Fuzzy Expert System for Financial Ratio Analysis

(Case Study: Cement Industry)

J. Nazemi*, M.R. Asgari & S. A. Banijamali

Jamshid Nazemi, Assistance professor, Science & Research Branch,

Mohammad Reza Asgari, Assistance professor, Islamic Azad University Iran Tehran Shahre- Rey Branch,

Seyed Ahmad Banijamali, M.A Degree, Science & Research Branch

Keywords

1ABSTRACT

This paper presents a new mathematical programming model for an

integrated production and air transportation in supply chain

management with sequence-dependent setup times in order to design

an applied procedure for the production and distribution schedule.

The aim of this model is to minimize the total supply chain cost

consisting of the costs of distribution, production earliness and

tardiness, and delivery. Because of the complexity and NP-hardness

of this problem, two meta-heuristics based on genetic algorithm (GA)

and variable neighborhood search (VNS) are proposed. The

parameters of these algorithms and their appropriate operators are

set and determined by the use of the Taguchi experimental design.

Then, the quality of the results obtained by these algorithms is

compared. The computational results show that the developed VNS

outperforms the proposed GA.

© 2012 IUST Publication, IJIEPM. Vol. 23, No. 3, All Rights Reserved

**

Corresponding author. Jamshid Nazemi Email: J.nazemi@srbiau.ac.ir

NNoovveemmbbeerr 22001122,, VVoolluummee 2233,, NNuummbbeerr 33

pppp.. 336633--337744

hhttttpp::////IIJJIIEEPPMM..iiuusstt..aacc..iirr//

IInntteerrnnaattiioonnaall JJoouurrnnaall ooff IInndduussttrriiaall EEnnggiinneeeerriinngg && PPrroodduuccttiioonn MMaannaaggeemmeenntt ((22001122))

Financial Ratio,

Fuzzy logic,

Expert system,

Artificial intelligence

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**

*

J.nazemi@srbiau.ac.ir

Asgari@iausr.ac.ir

Ahmad.Banijamali@gmail.com

2 Helfert-1991

hhttttpp::////IIJJIIEEPPMM..iiuusstt..aacc..iirr//

ISSN: 2008-4870

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1 Keown-1991

(FSA)

SAGE

FSA.

ANALYSIS

GERG Finance

ANSWERS

,,,

2 Klein-1995

3 Geerts and Mc Carthy-1987

4 Vasarhelyi and Kogan-1998 5 Ignizio-1991

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][

-

FINEVAPORT-

MANINVEX

FAME

FinARS

1 Schools of ratio analysis

2 Smith & McDuffie

3 W. G. Boggess, P. J. van Blokland 4 Peter E Hart

-

.

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][

(UCR) (QR)

(URIO) (UII) (USI)

(UCDV) (UCDA) (UTD)

(UFAV) (ULDI)

(USM) (USV) (UVM)

(SI) (UIM)

X

Y

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(TB) (ASVM)

(II) (FP)

(SEPM) (SDA)

(FID) (LD)

(SD) (SB)

(IC) (IR)

(IU) (IB)

(PR) (AR)

(CR)

IF UCRH QRH THEN TBG IF UCRM QRM THEN TBM

IF UCRL QRL THEN TBB

][

IF UROIH THEN ASVMB IF UROIM THEN ASVMG

IF UROIL THEN ASVMB

IF UIIH THEN IIB IF UIIM THEN IIM

IF UIIL THEN IIG

IF USIH THEN SEPMG

IF USIM THEN SEPMM

IF USIL THEN SEPMB

IF UROIL UIIL USIH THEN ARG IF UROIM UIIM USIM THEN ARM

IF UROIH UIIH USIL THEN ARB

][

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IF UFAVH THEN FIDB IF UFAVM THEN FIDG

IF UFAVL THEN FIDB

IF UCDAH THEN SDB IF UCDAM THEN SDM

IF UCDAL THEN SDG

IF UCDVH THEN FPB IF UCDVM THEN FPM

IF UCDVL THEN FPG

IF UTDH THEN SDAB IF UTDM THEN SDAM

IF UTDL THEN SDAG

IF ULDIH THEN LDB IF ULDIM THEN LDM

IF ULDIL THEN LDG

IF UFAVM UCDAL UCDVL UTDL ULDIL THEN CRG IF UCDAM UCDVM UTDM ULDIM THEN CRM

IF UFAVH UFAVL UCDAH UCDVH UTDH ULDIH THEN CRB

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IF USMH THEN SBG

IF USMM THEN SBM

IF USML THEN SBB

IF USVH THEN ICG

IF USVM THEN ICM

IF USVL THEN ICB

IF SIH THEN IUG

IF SIM THEN IUM

IF SIL THEN IUB

IF UVMH THEN IRG

IF UVMM THEN IRM IF UVML THEN IRB

IF UIMH THEN IBG

IF UIMM THEN IBM IF UIML THEN IBB

IF USMH USVH SIH UVMH UIMH THEN PRG

IF USMM USVM SIM UVMM UIMM THEN PRM IF USML USVL SIL UVML UIML THEN PRB

(U)

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H0

(=0 )

H1

≠0

H0

H0

(=0 )

H1

≠0

H0

FUZZY

INFERENCEMATLAB

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Ruler Viewer

FIS Editor: Financial Ratio Analysis

TB ASVM II SEPM FID SD

6.95 4.76 4.93 5 1.54 5

IC IU IR IB AR CR

5 5 8.48 5 5 5

FP SDA LD SB PR

5.01 1.21 6.77 9.01 5

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[13] Hart Peter, E., “Financial Expert Systems”, 1999.

[14] Gary, P., Moynihan, Vineet Jain, Robert W., McLeod,

Daniel, Fonseca, J., “An Expert System for Financial

Ratio Analysis”, Int. J. Financial Services

Management, Vol. 1, Nos. 2/3, 2006.

[15] İrfan Ertuğrul, Nilsen Karakaşoğlu, “Performance

Evaluation of Turkish Cement Firms with Fuzzy

Analytic Hierarchy Process and TOPSIS Methods”,

Expert Systems with Applications, Volume 36, Issue

1, January 2009, pp. 702-715.

[16] Jieh-Haur Chen, Li-Ren Yang, Mu-Chun Su, Jia-

Zheng Lin, “A Rule Extraction Based Approach in

Predicting Derivative Use for Fnancial Risk Hedging

by Construction Companies”, Expert Systems with

Applications, Volume 37, Issue 9, September 2010,

pp. 6510-6514.

[17] Langemeier Michael, R., “Financial Ratios Used in

Financial Management”, Kansas State University,

2004.

[18] McIvor, R.T., McCloskey, A.G., Humphreys, P.K.,

Maguire, L.P., “Using a Fuzzy Approach to Support

Financial Analysis in the Corporate Acquisition

Process”, Expert Systems with Applications,

Volume 27, Issue 4, November 2004, pp.533-547.

[19] Salwa Ammar, William Duncombe, Bernard Jump,

Ronald Wright, “Constructing a Fuzzy-Knowledge-

Based-System: an Application for Assessing the

Financial Condition of Public Schools”, Expert

Systems with Applications, Volume 27, Issue 3,

October 2004, pp. 349-364.

[20] Sheen, J.N., “Fuzzy Financial Profitability Analyses of

Demand Side Management Alternatives from

Participant Perspective”, Department of Electrical

Engineering, Cheng-Shiu University, Taiwan, 2005.

[21] Sheng-Tun, Li, Hei-Fong, Ho, “Predicting Financial

Activity with Evolutionary Fuzzy Case-Based

Reasoning”, 2009.

[22] Smith & McDuffie, 1996, Matsatsinis, Doumpos &

Zopounidis, 1997, O'Leary, 1995, “Expert Systems

for Fnancial Analysis of Firms”.

[23] Yusuf Tansel, İÇ, Mustafa Yurdakul, “Development of

a Quick Credibility Scoring Decision Support System

using Fuzzy TOPSIS”, Expert Systems with

Applications, Volume 37, Issue 1, January 2010, pp.

567-574.

[24] Che, Z.H., Wang, H.S., Chih-Ling Chuang, “A Fuzzy

AHP and DEA Approach for Making Bank Loan

Decisions for Small and Medium Enterprises in

Taiwan”, Expert Systems with Applications, Volume

37, Issue 10, October 2010, pp. 7189-7199.

[25] Zadeh, L.A., “Fuzzy Sets”, Inform and Control 8, pp.

338-353, 1965.

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